Cleaning sonarcloud smells

Author: jgbustos

Dockerfile

@@ -4,7 +4,8 @@ LABEL maintainer="j.garciadebustos@godeltech.com"
 
 # OpenMP library needed by LightGBM, XGBoost, etc
 RUN apt-get update \
- && apt-get install -y --no-install-recommends libgomp1
+ && apt-get install -y --no-install-recommends libgomp1 \
+ && apt clean
 
 COPY requirements.txt /app/
 

ml_rest_fastapi/trained_model/adult_census_income.py

@@ -83,7 +83,7 @@ def run(input_data: Iterable) -> Dict:
     data = pd.DataFrame(input_data, index=[0])
     data = pd.get_dummies(data)
     data = data.reindex(columns=COLUMNS, fill_value=0)
-    log.info("transformed_data: %s", np.array_str(data.values[0], max_line_width=10000))
+    log.info("transformed_data: %s", np.array_str(data.to_numpy()[0], max_line_width=10000))
 
     ret = {}
 

ml_rest_fastapi/trained_model/sample_model.py

@@ -67,7 +67,7 @@ def run(input_data: Iterable) -> Dict:
     # then make (or mock) a prediction
     #  prediction = MODEL.predict(data)
 
-    log.info("transformed_data: %s", np.array_str(data.values[0], max_line_width=10000))
+    log.info("transformed_data: %s", np.array_str(data.to_numpy()[0], max_line_width=10000))
     prediction = "mock_prediction"
     if isinstance(prediction, np.ndarray):
         prediction = prediction.tolist()[0]